Context-Aware Activity Recognition Systems
Context-Aware Activity Recognition Systems is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 36k research works in it since 1953. 20.3% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on activity recognition in pervasive computing environments, utilizing wearable sensors and accelerometer data. It explores the application of context-aware systems for health monitoring, smart homes, and ambient intelligence. The papers also delve into the use of deep learning algorithms for accurate activity recognition and fall detection.
- Activity Recognition
- Pervasive Computing
- Wearable Sensors
- Context-Aware Applications
- Health Monitoring
- Smart Homes
- Accelerometer Data
- Deep Learning
- Ambient Intelligence
- Fall Detection
- Research works
- 36k fractional, since 1953
- In the world top 10%
- 7.3k per year above
- Top-10% rate
- 20.3% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +7% the tick is no change
Which countries lead Context-Aware Activity Recognition Systems research?
By volume, India and China publish the most (1.2k and 1.1k works in 2022–2025).
By volume, 2022–2025
- 1 India 1.2k works
- 2 China 1.1k works
- 3 United States 889 works
- 4 Italy 298 works
- 5 Germany 281 works
- 6 Japan 273 works
- 7 United Kingdom 261 works
- 8 Canada 191 works
- 9 South Korea 186 works
- 10 Spain 168 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Context-Aware Activity Recognition Systems research?
By volume in 2022–2025, SRM Institute of Science and Technology publishes the most Context-Aware Activity Recognition Systems research, followed by Vellore Institute of Technology University and Amrita Vishwa Vidyapeetham.
By volume, 2022–2025
- 1 SRM Institute of Science and Technology India 40 works
- 2 Vellore Institute of Technology University India 35 works
- 3 Amrita Vishwa Vidyapeetham India 31 works
- 4 Tsinghua University China 27 works
- 5 King Mongkut's University of Technology North Bangkok Thailand 25 works
- 6 Chandigarh University India 25 works
- 7 Beijing University of Posts and Telecommunications China 25 works
- 8 Saveetha University India 24 works
- 9 Georgia Institute of Technology United States 23 works
- 10 University of Phayao Thailand 21 works
Who are the leading researchers in Context-Aware Activity Recognition Systems?
The most-cited researchers publishing on Context-Aware Activity Recognition Systems include Rajkumar Buyya, Bernt Schiele and Philip S. Yu.
- 1 Rajkumar Buyya 7.8k citations
- 2 Bernt Schiele 6.9k citations
- 3 Philip S. Yu 6.6k citations
- 4 Deborah Estrin 5.9k citations
- 5 Randy H. Katz 5.7k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Context-Aware Activity Recognition Systems research done?
The largest centres of Context-Aware Activity Recognition Systems research in 2022–2025 are Beijing (China), Chennai (India), Tokyo (Japan) and Seoul (South Korea). Among places with at least 20 works in it, it is an unusually large share of all research in Phayao.
Largest cities, 2022–2025
Where it is the local speciality
- PhayaoTH · 21.4 works61×
Location quotient: how much more of its research is in Context-Aware Activity Recognition Systems than the world average.
Where is the best place to study Context-Aware Activity Recognition Systems?
Among universities, judged by research, Air University, Marche Polytechnic University and King Mongkut's University of Technology North Bangkok score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Air University Pakistan | 74.1 | 52.8% | 32.5× | 14 | — |
| 2 | Marche Polytechnic University Italy | 63.5 | 22.7% | 10.2× | 14 | +290.6% |
| 3 | King Mongkut's University of Technology North Bangkok Thailand | 61.0 | 22.2% | 27.3× | 25 | — |
| 4 | University of Phayao Thailand | 58.9 | 23.5% | 61.0× | 21 | — |
| 5 | University of Siegen Germany | 55.3 | 23.8% | 9.2× | 9 | +209.9% |
| 6 | Maulana Azad National Institute of Technology India | 54.9 | 26.4% | 15.4× | 16 | — |
| 7 | Institute of Engineering Nepal | 54.6 | 4.7% | 9.5× | 13 | +261.1% |
| 8 | Vellore Institute of Technology University India | 52.2 | 10.6% | 4.9× | 35 | +390.3% |
| 9 | Amrita Vishwa Vidyapeetham India | 52.1 | 9.3% | 8.2× | 32 | +90.2% |
| 10 | Nottingham Trent University United Kingdom | 50.2 | 17.8% | 8.2× | 9 | +164.5% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Context-Aware Activity Recognition Systems research growing?
Output in 2018–2022 was 7% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Context-Aware Activity Recognition Systems.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.